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conferences and workshops. The Research Assistant Professor may be asked to teach (or may ask to teach) but that is neither required nor guaranteed. Qualifications Applicants must have a Ph.D. in Economics or
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for this position, however, we are still accepting applications from other qualified candidates. Position Summary Our goal is to identify computational principles underlying learning and decision-making behavior and
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cytometry). 25%: Project Management Mouse colony and research project management. 15%: Data Collection and Distribution Utilize basic computer skills to log data, conduct routine computer analysis of research
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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid
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Cosmology/Particle Astrophysics Physics / Astroparticle Physics , Cosmology , Dark Matter and Axion , HEP-Phenomenology (hep-ph) , HEP-Theory (hep-th) , Lattice Field Theory , Machine Learning , Particle
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Science. Commitment to undergraduate and graduate education. Demonstrated expertise in machine learning/deep learning and software development (Python; PyTorch/TensorFlow). Peer-reviewed publications and strong
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lab’s website https://sites.duke.edu/corinnelinardiclab/ . Be You Work Performed · Perform literature reviews to guide research · Design and execution of standard in vitro assays ongoing in the lab
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preprocessing IoMT network traffic datasets. Implement and evaluate machine learning algorithms (e.g., logistic regression, SVM, random forest) for intrusion detection. Develop prototype software tools (e.g
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apply with no application fee during Free Application Week, October 6–10, 2025.👉 Learn more and apply here: https://go.ua.edu/4g4YUyJOur faculty are advancing knowledge and innovation across four dynamic
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
to gain exposure to and training in state-of-the-art uses of machine learning for solving complex optimization problems with realistic applicability in real-world investment settings. The position is ideal